Zobrazeno 1 - 10
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pro vyhledávání: '"Shafti, Ali"'
Functional Electrical Stimulation (FES) is a technique to evoke muscle contraction through low-energy electrical signals. FES can animate paralysed limbs. Yet, an open challenge remains on how to apply FES to achieve desired movements. This challenge
Externí odkaz:
http://arxiv.org/abs/2209.07849
Intuitive and efficient physical human-robot collaboration relies on the mutual observability of the human and the robot, i.e. the two entities being able to interpret each other's intentions and actions. This is remedied by a myriad of methods invol
Externí odkaz:
http://arxiv.org/abs/2203.01287
Explainability, interpretability and how much they affect human trust in AI systems are ultimately problems of human cognition as much as machine learning, yet the effectiveness of AI recommendations and the trust afforded by end-users are typically
Externí odkaz:
http://arxiv.org/abs/2202.08979
Eye movements have long been studied as a window into the attentional mechanisms of the human brain and made accessible as novelty style human-machine interfaces. However, not everything that we gaze upon, is something we want to interact with; this
Externí odkaz:
http://arxiv.org/abs/2201.09135
Human movement disorders or paralysis lead to the loss of control of muscle activation and thus motor control. Functional Electrical Stimulation (FES) is an established and safe technique for contracting muscles by stimulating the skin above a muscle
Externí odkaz:
http://arxiv.org/abs/2103.05349
We have pioneered the Where-You-Look-Is Where-You-Go approach to controlling mobility platforms by decoding how the user looks at the environment to understand where they want to navigate their mobility device. However, many natural eye-movements are
Externí odkaz:
http://arxiv.org/abs/2103.03072
Autor:
Shafti, Ali, Faisal, A. Aldo
Assistive and Wearable Robotics have the potential to support humans with different types of motor impairments to become independent and fulfil their activities of daily living successfully. The success of these robot systems, however, relies on the
Externí odkaz:
http://arxiv.org/abs/2102.12980
The intuitive collaboration of humans and intelligent robots (embodied AI) in the real-world is an essential objective for many desirable applications of robotics. Whilst there is much research regarding explicit communication, we focus on how humans
Externí odkaz:
http://arxiv.org/abs/2003.01156
We present a robotic setup for real-world testing and evaluation of human-robot and human-human collaborative learning. Leveraging the sample-efficiency of the Soft Actor-Critic algorithm, we have implemented a robotic platform able to learn a non-tr
Externí odkaz:
http://arxiv.org/abs/1912.01715
From a young age humans learn to use grammatical principles to hierarchically combine words into sentences. Action grammars is the parallel idea, that there is an underlying set of rules (a "grammar") that govern how we hierarchically combine actions
Externí odkaz:
http://arxiv.org/abs/1910.02876